Skip to content

mnist

load_data

Load and return the MNIST dataset.

Parameters:

Name Type Description Default
image_key str

The key for image.

 'x'
label_key str

The key for label.

 'y'

Returns:

Type Description
Tuple[NumpyDataset, NumpyDataset]

(train_data, eval_data)
Source code in fastestimator/fastestimator/dataset/data/mnist.py 
22
23
24
25
26
27
28
29
30
31
32
33
34
35
def load_data(image_key: str = "x", label_key: str = "y") -> Tuple[NumpyDataset, NumpyDataset]:
    """Load and return the MNIST dataset.

    Args:
        image_key: The key for image.
        label_key: The key for label.

    Returns:
        (train_data, eval_data)
    """
    (x_train, y_train), (x_eval, y_eval) = tf.keras.datasets.mnist.load_data()
    train_data = NumpyDataset({image_key: x_train, label_key: y_train})
    eval_data = NumpyDataset({image_key: x_eval, label_key: y_eval})
    return train_data, eval_data